Fuzzy Searching? about tntsearch HOT 13 CLOSED

Yes, it is planned for the future versions.

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Well I think you've done a really great job so far.

Just needs so far:

• Updating for indexing instead of having to delete it and start over. #5
• Fuzzy Searching would make it 10 times better.
• You also might get allot more attention if you wanted to make a package for Laravel 5.

Thanks for your time in this project.

from tntsearch.

Ok cool! Ya fuzzy searching is ten times better for users when there trying to find something & they don't really know all the words. Do you have a Roadmap of the features for public viewing?

from tntsearch.

Currently not. The package is relatively new so we are trying to collect some feedback first and see what users need most

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@nticaric Thanks for listening to my ideas! Have you thought about creating a trello board?

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well..will be great

On Mon, May 16, 2016 at 8:50 PM, Christopher [email protected]
wrote:

@nticaric https://github.com/nticaric Thanks for listening to my ideas!
Have you thought about creating a trello board?

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Shiva Acharjee
Software Engineer @ NETechno (p) Ltd
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Yeah fuzzy searching would be awesome.

from tntsearch.

for fuzzy and scoring better use a lucene search engine.

like https://github.com/nqxcode/laravel-lucene-search

• phrase - phrase match (boolean, true by default)
• proximity - value of distance between words (unsigned integer)
• fuzzy - value of fuzzy (float, 0 ... 1)
• required - should match (boolean, true by default)
• prohibited - should not match (boolean, false by default)

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@xenDE this package was created because Zend Lucene wasn't good enough :) BM25 matching algorithm is superior to the VSM (vector space model) which lucene uses for scoring. The package has also support for boolean search which is implemented in the way that it gives control to the user not to the developer. The fuzziness and proximity can be added by extending the search class but it affects performance, like it does to the package you recommended ;) The index can also be easily updated. Access to it is much faster because it uses sqlite extension which is written in C and you can't beat C ;)

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@nticaric Is there any news or progress on the fuzzy search?

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@dragonfire1119 Yes, the fuzzy search feature has been added in version v0.8.0

use TeamTNT\TNTSearch\TNTSearch;

$tnt = new TNTSearch;

$tnt->loadConfig($config);
$tnt->selectIndex("name.index");
$tnt->fuzziness = true;

//when the fuzziness flag is set to true the keyword juleit will return
//documents that match the word juliet, the default levenshtein distance is 2
$res = $tnt->search("juleit");

You can tweak it by changing the TNTSearch member variables

public $fuzzy_prefix_length  = 2;
public $fuzzy_max_expansions = 50;
public $fuzzy_distance       = 2 //represents the levenshtein distance;

In order to better understand how the fuzziness implementation works, here's a good read
from the elastic blog :)

https://www.elastic.co/blog/found-fuzzy-search

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@nticaric Thanks for your time on the project. How would you set the fuzziness public variable when you use the Facade?

Think I figured it out? Is this the best way?

\TNTSearch::selectIndex("users");
app('tntsearch')->fuzziness = true;
$res = \TNTSearch::search('tom', 10);

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@dragonfire1119 Haven't tried, but this should do the trick

TNTSearch::getFacadeRoot()->fuzziness = true;

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